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Menthol tobacco use is correlated with mental health symptoms in a national sample of young adults: implications for future health risks and policy recommendations



Depression and anxiety are correlated with greater nicotine dependence, smoking persistence, and relapse back to smoking after a quit attempt. Menthol cigarette smoking, which is prevalent in young adults, is associated with nicotine dependence, progression to regular smoking, and worse cessation outcomes than non-menthol smoking. Few have established a link between menthol tobacco use, beyond just smoking, with mental health in this high-risk age group. This study examined the association of menthol tobacco use to anxiety and depression in a national sample of young adults.


Data were from Waves 1 through 7 (n = 9720, weighted) of the Truth Initiative Young Adult Cohort, a national sample of men and women aged 18 to 34 assessed every 6-months. Demographics, past 30-day use of non-menthol and menthol tobacco products, and current alcohol, marijuana, and other drug use were assessed among those with depression and anxiety.


Thirty nine percent of current tobacco users used menthol as their preferred brand. Using a cross-sectional analysis (collapsed across waves), past 30-day menthol tobacco was uniquely associated with greater odds of both depression and anxiety, beyond the effects of demographic and substance correlates and non-menthol tobacco product use.


Menthol is disproportionately used among young adults tobacco users with mental health problems, above and beyond the impact of a variety of other mental health and tobacco use risk factors. Findings suggest a strong link between menthol tobacco use and poor health outcomes. Policies should be developed to deter menthol tobacco use in vulnerable groups.


Menthol comprises nearly a third of the tobacco market. It’s minty taste and cooling and anesthetizing properties have been posited to reduce the harshness of smoke inhalation, may contribute to tobacco use and smoking initiation in young people [14], and may prevent tobacco users from quitting [57]. While recent data show decreases in the prevalence of non-menthol cigarette smoking [6, 8] there has been an increase in menthol cigarette use in young adults during this same time period [9]. Menthol has been proposed as an important factor in the transition from initiation to regular tobacco use during young adulthood [3, 4].

Menthol may increase the addictive potential of tobacco use via multiple mechanisms, including biological, genetic, environmental, and dispositional [1016]. Menthol tobacco use may be maintained through its association with positive, pleasurable, and other hedonistic responses to nicotine. This may attract new users [3, 4] and facilitate greater ingestion of harmful tobacco constituents [11]. Further, the highly salient positive sensory properties of menthol may enhance the overall rewarding effects of nicotine reinforcement [12, 17], thereby strengthening the uptake of cigarette or other nicotine-containing tobacco products among emergent users. This then enhances the addiction potential of menthol tobacco products, and may hinder success at quitting later on [18].

Psychiatric distress, including depression and anxiety, is linked to tobacco use, greater nicotine dependence, smoking persistence, and poor smoking cessation outcomes [1922]. Similarly, menthol cigarette smoking has consistently been associated with more severe nicotine dependence [23] and lower quit rate success than non-menthol smokers [2426]. A paucity of published research, however, has focused on the link between mental health factors and menthol cigarette and other tobacco product use in young adult populations, despite the exceedingly high rates of menthol tobacco use in this age group. Of the few studies published linking menthol use to mental health, findings show that the prevalence of menthol cigarette smoking is high among those with severe psychological distress compared to those without [11, 27, 28] and that menthol smokers report worse general mental health than non-menthol smokers [29, 30]. One recent population-based study of young adults found that menthol cigarette smoking was correlated with marijuana use and binge drinking [31], two health-risk behaviors that are also robustly linked to psychiatric distress [3237]. One explanation for the association between menthol cigarette smoking and mental health problems could be due to the cooling sensation of menthol, which has a mildly arousing and stimulating effect [38], and may dampen frequent or chronic dysphoric mood often present with certain mental illnesses. Indeed, prior research shows that menthol cigarettes are used to enhance drug-related high and to sustain euphoric mood states [39]. Other research suggests that the nicotine in tobacco, more generally, is used to self-medicate mood disorders [36, 40]. If this was the case, then menthol tobacco use would not be differentially associated with mental health problems, compared to non-menthol tobacco use. Taken together, the stimulating and arousing properties of menthol in nicotine-containing tobacco products might be attractive to young adults with mental illnesses, perhaps to self-medicate and cope with negative mood states. If menthol increases the subjective effects of nicotine on mood improvement, one might expect greater uptake of menthol tobacco products in young adults with mood problems than those without.

In sum, mental health problems and menthol cigarette smoking have been robustly linked to smoking persistence, nicotine dependence, and poor smoking cessation rates [20, 41]. Further, a high prevalence of menthol cigarette use has been documented among young adult tobacco users [8, 42, 43]. As such, it would be important to determine whether menthol tobacco use is associated with increased mental health problems in this age group. Such findings may explain, in part, why menthol cigarette use is correlated with smoking initiation and progression in young people – it is being used to self-medicate or cope with stress and emotional problems. Further, because young adults use a variety of tobacco products, not just cigarettes [44], it would be important to examine the association of all types of menthol tobacco products, beyond cigarettes, to mental health problems. This study used a national sample of over 9600 young adults to examine the prevalence of depression and anxiety as a function of menthol tobacco product use, after adjusting for demographic and psychosocial risk factors known to impact both mental health and tobacco use (i.e., alcohol, drug use). We hypothesized that menthol tobacco use would be associated with increased mental health risk, above and beyond the impact of other robust mental health and tobacco use risk factors. Additionally, because this study examines the association of menthol tobacco use with depression and anxiety, above and beyond other mental health and tobacco use risk factors, we also describe the links between these risk factors and the outcomes of interest, to situate our primary hypothesis in context. Such findings would suggest that removal of menthol tobacco products from the tobacco marketplace may prevent initiation and progression to regular use among particularly vulnerable groups of incipient users.



Data were from Waves 1 through 7 of the Truth Initiative Young Adult Cohort, a national sample of men and women aged 18 to 34 drawn from the GfK KnowledgePanel®. Waves were assessed at approximately 6-month intervals, from June 2011 (Wave 1) to October 2014 (Wave 7). KnowledgePanel® is an online panel of adults ages 18 and older that covers both the online and offline populations in the U.S ( The panel was recruited via address-based sampling, a probability-based random sampling method that provides statistically valid representation of the U.S. population, including cell phone-only households. Households without internet access were provided a free netbook computer and internet service to reduce response bias in typical online survey samples. African-American and Hispanic individuals were oversampled. The validity of this methodology has been reported previously [4550].

The panel recruitment rate ranged from 14-15 % across all waves [51]. In 64-66 % of these identified households, one member completed a core profile survey in which the key demographic information was collected (profile rate). For this particular study, only one member per household was selected at random. The response rate ranged from 29-55 % and the cumulative response rate across all surveys ranged from 4-7 %, which is consistent with other published studies [52, 53].

After Wave 1, the sample for each wave consisted of people who completed the previous wave plus a refreshed sample to replace individuals lost to follow-up and to ensure the sample did not age out of the cohort. This study was approved by the Independent Investigational Review Board, Inc. for Waves 1-3 and Chesapeake Institutional Review Board, Inc. for Waves 4-7. Additional details on survey methodology have been published elsewhere [54]. The present analysis focused on a subset of 9658 (weighted n = 9720) young adults aged 18 to 34 at study entry who answered questions on mental health and contributed 26,378 (weighted n = 26,587) cases/observations over seven waves of data collection.


Mental health symptoms

As the primary outcomes, two variables were created to assess symptoms consistent with current (past 2 weeks) depression and anxiety from the two-item Patient Health Questionnaire (PHQ-2) [55, 56] or the two-item Generalized Anxiety Disorder (GAD) scale [57, 58], respectively. Using a 4-point scale (0 = “not at all” and 3 = “nearly every day”), PHQ-2 queries about the frequency of depressed mood and loss of interest in pleasant activities, while the two-item GAD queries about the frequency of uncontrollable worry and feelings of anxiety. According to validated scoring guidelines [56, 58], individuals who received a score at or above the cut-off (≥3) were coded as having either depression or anxiety at that particular wave.

Tobacco use

At each wave, participants were asked about past 30-day use of eleven tobacco products including: cigarettes, cigars, pipe, little cigars/cigarillos (LCCs), e-cigarettes, chewing tobacco, dip/snuff, snus, dissolvable products, hookah/shisha, and other nicotine products (i.e., gum, patches, lozenges). Participants who reported use of any tobacco product in the past month were defined as past 30-day tobacco users in that particular wave. For each product used, participants were asked to identify the typical brand used in the past 30 days and whether it was menthol-flavored. Participants who reported that their typical brand was mentholated were defined as a current menthol tobacco user in that particular wave. Following established methods [59, 60], examples of usual brands were included in the question to further assist with the query. Past 30-day non-menthol tobacco use and past 30-day menthol tobacco use are wave-specific variables. Thus, an individual could be both a past 30-day tobacco user and not a past 30-day menthol tobacco user, depending on the wave.

Alcohol, marijuana, other drug use

Current alcohol use was assessed differently for Waves 1-6 versus Wave 7. In waves 1-6, all participants were asked about the frequency of their current use, with response options “every day,” “some days,” and “not at all.” Those who reported using alcohol “some days” or “every day” were defined as current users in that particular wave. For wave 7, current alcohol use was determined by two items. The first item asked about frequency of drinking alcohol in the past year (“never,” “monthly or less,” “2-4 times per month,” “2-3 times per week,” “4 or more times per week”). Those who reported any use of alcohol were then queried about the frequency of use in the past 30 days, with respondents using ≥1 days in the past month defined as current users. Those with missing data (<2 %) were defined as non-current users in that particular wave.

For current marijuana and other drug use (cocaine, ecstasy, meth, etc.), participants were asked about the frequency of their use for each substance, with response options “every day,” “some days,” and “not at all,” similarly across all waves. Those who reported current use some days or every day were defined as current users in that particular wave. Those with missing data or who reported “not at all” (<2 %) were defined as non-current users in that particular wave.


Participants provided information on age at study entry (grouped as 18-24 and 25-34), gender, race/ethnicity (White, non-Hispanic; Black, non-Hispanic; Other, non-Hispanic; and Hispanic), highest education completed (less than high school, high school, and some college or greater), and financial situation (does not meet basic needs, just meets basic needs, meets needs with a little left, and lives comfortably). Financial situation was assessed at Waves 1, 3, 5, and 7; and was imputed using a carry-forward approach from the previous wave for waves 2 and 4 and a carry-backward approach for wave 6 [61, 62].


Analyses were performed using Stata/SE 13.1 (StataCorp, 2014) in April 2015. Post-stratification weights were used to offset non-response or non-coverage bias and to produce nationally representative estimates specific to each wave. Our main hypothesis was not focused on the impact of menthol use on changes in depression and anxiety over time. Preliminary analyses of the intra-class correlations (ICCs) did not show significant variations over time in prevalence of depression or anxiety, therefore data were collapsed across the 7 study waves. That is, because prevalence estimates of depression and anxiety at each time point were not statistically different, we collapsed data across all observations at each wave. To account for clustering of individual responses over time, participant ID was set as the primary sampling unit in all analyses and study wave was included as a covariate in analyses. The robust Poisson regression method was used to adjust for inflation of the odds ratio, given that the prevalence of the outcomes were higher than 10 % (i.e., the recommended standard) of the total sample [63].

We calculated the prevalence of anxiety and depression in the sample. Bivariate modified Poisson regressions were then conducted to examine correlates of anxiety and depression. Next, we examined overall changes in prevalence ratios of the association of past 30-day menthol tobacco use on anxiety or depression after covariate adjustment. To do this, three separate multivariable modified Poisson regression models were conducted (separately for each outcome) that included demographics in step 1; demographics, tobacco, and substance use variables entered in step 2; and the addition of menthol-flavored tobacco use in step 3.

Because data are collapsed across waves, modified Poisson regression prevalence ratios represent the association of a person at a specific time point, reporting that they were a menthol or non-menthol user (for example). All models controlled for study wave and missing data were handled with modelwise deletion per Stata’s survey procedures. Missing data values are reported in Table 1.

Table 1 Weighted sample characteristics by mental health status, across all waves (1-7) in n = 9720 young adults using crude unadjusted Poisson regression


Prevalence and correlates of anxiety and depression

The sample (see Table 1) was composed of equal numbers of men and women, with the majority aged 18- 24 (60 %), White, non-Hispanic (58 %), having at least some college education (61 %), and a little over a third met financial needs with a little left over (38 %). Overall, 13 % of the sample reported symptoms consistent with current depression and 15 % reported symptoms consistent with current anxiety. Almost half (45 %) of those who reported depression or anxiety endorsed symptoms consistent with both mental health issues. Of the total sample, 58 % were current alcohol users, 24 % were past 30-day tobacco users, 13 % were current marijuana users and 2 % were current users of other drugs. Of those who were past 30-day tobacco users, 39 % used menthol as their preferred brand (of at least one tobacco product).

A sub-analysis (not reported in Table 1) was conducted to examine menthol use across race. Among past 30-day tobacco users in the study sample, 67 % of Black respondents reported current use of menthol tobacco, followed-by 45 % of non-Black, non-Hispanic, 44 % of Hispanic, and 32 % of White respondents (p < 0.001).

Crude prevalence ratios from bivariate modified Poisson regression models showed that females, those with less than a high school education (vs. some college or greater), and those with financial situations that at most just met basic expenses (vs. meeting needs with a little left) were more likely to report depression or anxiety (all p’s < 0.05).

Race, education, and financial situation varied across the mental health outcomes. Non-White respondents were more likely to report depression, but not anxiety (all p’s <0.05). Those with a high school education (vs. some college or greater) were significantly more likely to report symptoms of depression, but not anxiety (p <0.001). Those who reported living comfortably (vs. meeting needs with a little left) were less likely to report anxiety (p =0.020). Depression appeared unrelated to financial situation (p =0.071). Age was not associated with depression or anxiety (p’s 0.30 - 0.60).

Current users of tobacco, marijuana, and other drugs were more likely to report depression and anxiety compared with non-users (all p’s <0.001). Current alcohol users were more likely to report symptoms of anxiety (p =0.014), but not depression (p =0.404). Almost 25 % of respondents who reported past 30-day menthol tobacco use also reported anxiety or depression (Table 1). Within the full sample, however, only ~10 % of respondents reported past 30-day menthol tobacco use.

Stepwise modified Poisson regression models

Table 2 shows correlates of current anxiety across all step-wise three models. Adjusting for all covariates in the final model (Model 3), past 30-day use of any menthol tobacco product emerged as a significant correlate of current anxiety. Female gender and lower financial means remained significantly associated with increased odds of anxiety after including all variables in the model (Model 3). Past 30-day tobacco use, current marijuana use, and current other drug use also remained significantly correlated with anxiety in the final model.

Table 2 Stepwise modified Poisson regression models of menthol use associated with current anxiety among n = 9720 (weighted) young adults

Table 3 shows correlates of current depression across all three models. Similar to the model for anxiety, adjusting for all covariates in the final model (Model 3), past 30-day use of any menthol tobacco product still emerged as a significant correlate of depression. Also, in the final model, Hispanic respondents and non-Black, non-Hispanic respondents were significantly more likely to report depression compared to White, non-Hispanic respondents in the final model. Similar to the model for anxiety, lower financial means was significantly associated with depression in the final model. Finally, after adjusting for all covariates in the final models, individuals with a high school education (vs. at least some college) were more likely to report depression, as were past 30-day tobacco users, current marijuana users, and current other drug users. Age and current alcohol use were not significant correlates of depression in the final model.

Table 3 Stepwise modified Poisson regression models of menthol use associated with current depression among n = 9720 (weighted) young adults


Studies linking menthol tobacco use, beyond just cigarette smoking, to higher rates of depression/anxiety in young adults are scant. This study sought to uncover whether menthol tobacco-using young adults show certain mental health vulnerabilities relative to non-menthol users, after controlling for other covariates known to impact both mental health and tobacco use in this age group.

Bivariate analyses showed that current menthol-flavored tobacco users reported anxiety and depression at a higher prevalence compared to the full sample and to non-menthol tobacco users. Consistent with prior research, women, those with lower educational and financial means, and those currently using tobacco and other drugs were more likely to report anxiety and depression [64, 65]. Race was differentially associated with depression and anxiety, such that non-White respondents were most likely to report depression; however race was unrelated to anxiety. Alcohol use was not associated with either depression or anxiety, which we would not expect based on prior [34, 66]. Our findings may have been due to our assessment of alcohol use, which measured only general consumption in the past 30-days, but not consequences of use or heavy drinking; alcohol-related problems or indices of risky drinking behavior may be better predictors of mental health problems.

Stepwise modified Poisson regression models revealed that the odds of reporting anxiety and depression were nearly two and half times greater among those not meeting basic financial needs, relative to those meeting basic needs with some additional money left over. Further those currently using other drugs, such as cocaine, methamphetamine, or ecstasy, had the highest risk of anxiety and depression; nearly three times higher (for both outcomes) relative to respondents not using other drugs. Lastly, as we predicted, menthol tobacco use was associated with elevated risk for both mental health outcomes, after controlling for a number of other risk factors. This suggests there is something unique about menthol in tobacco products that links it to affective vulnerability. Such findings are concerning given the robust association between psychiatric distress, particularly depression, with more severe nicotine dependence, smoking persistence, and higher rates of smoking relapse among adult tobacco users [20, 6770]. Thus, mental health may be one factor explaining why menthol smokers have worse cessation outcomes and greater nicotine dependence relative to non-menthol smokers in some studies [7]. This has important implications for incipient tobacco users with depression or anxiety. These individuals may start their tobacco use “careers” with menthol, but may find it exceedingly difficult to quit in later years because of the subjective rewarding effects of menthol [16], as well as the desire to self-medicate negative mood symptoms with nicotine [36, 40].

There could be several reasons why menthol is linked to mental health. First, the stimulating properties of nicotine, coupled with the positive sensory aspects of menthol, may relieve the negative moods and other aversive symptoms (i.e., weight gain, irritability, fatigue) that are common among individuals with depression or anxiety [36, 40]. If nicotine was the only mood-enhancing factor of tobacco use, then we would not have found differences between menthol and non-menthol tobacco users. These findings add to the literature, and suggest that menthol tobacco has distinct properties that drives its use among certain groups of users, and which may lead to more persistent use later on [12, 16, 17, 71]. Alternatively, individuals with an underlying vulnerability toward a variety of health-risk behaviors may self-select to use menthol tobacco. This may be because menthol flavoring is offered in a variety of different tobacco products [43] and vulnerable young adults are likely to try many substances of abuse, not just cigarettes [72]. A third reason could be that menthol is more likely to be sold in neighborhoods where socially and economically disadvantaged individuals reside, including those with mental health problems. For example, Young-Wolff and colleagues [27] found that tobacco retailer densities were twice as high in areas occupied by smokers with serious mental illness relative to the general population. Our findings showed that individuals with lower financial means and educational attainment were prone to mental health problems, and thus, the link between menthol use and mental health in young adults may be partially explained by tobacco marketing toward these lower income individuals. We did not assess the impact of tobacco marketing, nor neighborhood composition in this study.

There were several limitations of this study. First, we cannot conclude that menthol causes mental health problems due to the cross-sectional nature of the analyses. Similarly, we did not examine product switching, or the case in which someone could have been a menthol user at one time point, but no longer a menthol user at a subsequent time point; although prior studies indicate this is not common [1, 73]. Follow-up studies can examine whether age of menthol initiation predicts subsequent onset or progression of anxiety and depression. Second, this was a secondary analysis and we were limited to the measurement items within the dataset. Other factors not currently measured, such as neighborhood composition and social network factors, may impact rates of menthol use and mental health. Third, rates of anxiety and depression in the present study were higher than those reported in other national samples [21, 22]. This is likely due to the sensitivity of our 2-item measures. A more in-depth clinical assessment of depression, anxiety, and substance use features may be warranted [74]. Fourth, this study uses an existing online panel to recruit a large, national cohort of young adults. Although African American and Hispanic young adults were oversampled to ensure sufficient sample sizes, our sample may not be representative of the national population of young adults. Finally, we did not examine the impact of individual tobacco products (i.e.,e-cigarettes, LCCs, hookah) on mental health outcomes due to small sample sizes. Given the rising popularity of flavored tobacco use in young people [43], future work should examine product-specific links between menthol flavoring and mental health in this age group.

This study has several strengths. We are not aware of any national studies that have examined the link of menthol tobacco use, beyond menthol cigarette use, and mental health in young people. Of the two large-scale studies that have been published, both focused on adult populations and used either a general measure of psychiatric distress [28] or a crude measurement of well-being [30]. Further, both focused exclusively on menthol cigarette use, not tobacco use more generally. Examining a broad set of menthol tobacco product use, not just cigarette smoking, is particularly relevant to young people. Young adults have the highest rates of tobacco product use (cigarette and non-cigarette products) relative to any other age group and are highly likely to use a variety of different types of tobacco products [44]. Further, the use of flavored tobacco products, including menthol, is particularly prevalent in this age group [43].


In summary, findings provide evidence that menthol is disproportionately used by vulnerable groups of young adult smokers, beyond the impact of other robust mental health and tobacco use risk factors. Menthol’s link to anxiety and depression, over and above non-mentholated tobacco product use, and the rising prevalence of menthol use in young adults makes the use of these mint-flavored tobacco products a significant public health concern. These findings have important implications for future policies and prevention campaigns aimed at deterring the uptake of menthol tobacco use among vulnerable and at-risk groups who have disproportionately high rates of use. Even though it is clear that menthol provides an “extra something” [75], and may contribute to mental health beyond just nicotine alone, the mechanisms underlying menthol’s link to depression and anxiety, nicotine addiction, and initiation and progression are not clear. Policies should be put in place to ban or further restrict the sale and marketing of menthol tobacco to youth and young people given these risks.

Ethics approval

This study was approved by the Independent Investigational Review Board, Inc. for Waves 1-3 (Protocol #20036-007) and Chesapeake Institutional Review Board, Inc. for Waves 4-7 (Protocol #20036020). Online consent was collected from participants before survey self-administration.


  1. Villanti AC, Giovino GA, Barker DC, Mowery PD, Sevilimedu V, Abrams DB. Menthol brand switching among adolescents and young adults in the National Youth Smoking Cessation Survey. Am J Public Health. 2012;102(7):1310–2.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Nonnemaker J, Hersey J, Homsi G, Busey A, Allen J, Vallone D. Initiation with menthol cigarettes and youth smoking uptake. Addiction. 2013;108(1):171–8.

    Article  PubMed  Google Scholar 

  3. Hersey JC, Nonnemaker JM, Homsi G. Menthol cigarettes contribute to the appeal and addiction potential of smoking for youth. Nicotine Tob Res. 2010;12 suppl 2:S136–46.

    Article  PubMed  Google Scholar 

  4. Hersey JC, Ng SW, Nonnemaker JM, Mowery P, Thomas KY, Vilsaint M-C, et al. Are menthol cigarettes a starter product for youth? Nicotine Tob Res. 2006;8(3):403–13.

    Article  PubMed  Google Scholar 

  5. Dauphinee AL, Doxey JR, Schleicher NC, Fortmann SP, Henriksen L. Racial differences in cigarette brand recognition and impact on youth smoking. BMC Public Health. 2013;13(1):170.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Giovino GA, Villanti AC, Mowery PD, Sevilimedu V, Niaura RS, Vallone DM et al. Differential trends in cigarette smoking in the USA: is menthol slowing progress? Tobacco control. 2013:tobaccocontrol-2013-051159.

  7. Beckwith L. TPSAC report and recommendation on menthol cigarettes, 2011. 2013.

  8. Delnevo CD, Villanti AC, Giovino GA. Trends in menthol and non-menthol cigarette consumption in the USA: 2000–2011. Tobacco control. 2013:tobaccocontrol-2013-051385.

  9. Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. The NSDUH Report: Recent Trends in Menthol Cigarette Use. 2011.

  10. Brody AL, Mukhin AG, La Charite J, Ta K, Farahi J, Sugar CA, et al. Up-regulation of nicotinic acetylcholine receptors in menthol cigarette smokers. International Journal of Neuropsychopharmacology. 2013;16(5):957–66.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Williams JM, Gandhi KK, Steinbergd ML, Foulds J, Ziedonis DM, Benowitz NL. Higher nicotine and carbon monoxide levels in menthol cigarette smokers with and without schizophrenia. Nicotine & Tobacco Research. 2007;9(8):873–81.

    Article  CAS  Google Scholar 

  12. Henningfield JE, Benowitz NL, Ahijevych K, Garrett BE, Connolly GN, Wayne GF. Does menthol enhance the addictiveness of cigarettes? An agenda for research. Nicotine & Tobacco Research. 2003;5(1):9-11.

  13. Moreland-Russell S, Harris J, Snider D, Walsh H, Cyr J, Barnoya J. Disparities and menthol marketing: additional evidence in support of point of sale policies. International journal of environmental research and public health. 2013;10(10):4571–83.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Xing H, Ling J, Chen M, Gu JG. Chemical and cold sensitivity of two distinct populations of TRPM8-expressing somatosensory neurons. Journal of neurophysiology. 2006;95(2):1221–30.

    Article  PubMed  CAS  Google Scholar 

  15. Uhl GR, Walther D, Behm FM, Rose JE. Menthol preference among smokers: association with TRPA1 variants. Nicotine & Tobacco Research. 2011;13(12):1311–5.

    Article  CAS  Google Scholar 

  16. Ahijevych K, Garrett BE. The role of menthol in cigarettes as a reinforcer of smoking behavior. Nicotine & tobacco research. 2010;12(suppl 2):S110-S6.

  17. Ahijevych K, Garrett BE. Menthol pharmacology and its potential impact on cigarette smoking behavior. Nicotine & Tobacco Research. 2004;6(Suppl 1):S17-S28.

  18. Rose JE, Behm FM. Extinguishing the rewarding value of smoke cues: pharmacological and behavioral treatments. Nicotine & Tobacco Research. 2004;6(3):523-32.

  19. Lasser K, Boyd JW, Woolhandler S, Himmelstein DU, McCormick D, Bor DH. Smoking and mental illness: a population-based prevalence study. Jama. 2000;284(20):2606–10.

    Article  PubMed  CAS  Google Scholar 

  20. Breslau N, Johnson EO, Hiripi E, Kessler R. Nicotine dependence in the United States: prevalence, trends, and smoking persistence. Archives of general psychiatry. 2001;58(9):810–6.

    Article  PubMed  CAS  Google Scholar 

  21. Hasin DS, Goodwin RD, Stinson FS, Grant BF. Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions. Archives of general psychiatry. 2005;62(10):1097-106.

  22. Grant BF, Hasin DS, Stinson FS, Dawson DA, June Ruan W, Goldstein RB, et al. Prevalence, correlates, co-morbidity, and comparative disability of DSM-IV generalized anxiety disorder in the USA: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychological medicine. 2005;35(12):1747-59.

  23. Wackowski O, Delnevo CD. Menthol cigarettes and indicators of tobacco dependence among adolescents. Addictive behaviors. 2007;32(9):1964–9.

    Article  PubMed  Google Scholar 

  24. Azagba S, Minaker LM, Sharaf MF, Hammond D, Manske S. Smoking intensity and intent to continue smoking among menthol and non-menthol adolescent smokers in Canada. Cancer Causes & Control.2014;25(9):1093-9.

  25. Delnevo CD, Gundersen DA, Hrywna M, Echeverria SE, Steinberg MB. Smoking-cessation prevalence among US smokers of menthol versus non-menthol cigarettes. American journal of preventive medicine. 2011;41(4):357–65.

    Article  PubMed  Google Scholar 

  26. Gundersen DA, Delnevo CD, Wackowski O. Exploring the relationship between race/ethnicity, menthol smoking, and cessation, in a nationally representative sample of adults. Prev Med. 2009;49(6):553–7.

    Article  PubMed  Google Scholar 

  27. Young-Wolff KC, Hickman NJ, Kim R, Gali K, Prochaska JJ. Correlates and Prevalence of Menthol Cigarette Use Among Adults With Serious Mental Illness. Nicotine & Tobacco Research. 2014:ntu141.

  28. Hickman NJ, Delucchi KL, Prochaska JJ. Menthol use among smokers with psychological distress: findings from the 2008 and 2009 National Survey on Drug Use and Health. Tobacco control. 2014;23(1):7–13.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Hooper MW, Zhao W, Byrne MM, Davila E, Caban-Martinez A, Dietz NA, et al. Menthol cigarette smoking and health, Florida 2007 BRFSS. American journal of health behavior. 2011;35(1):3-14.

  30. Mendiondo MS, Alexander LA, Crawford T. Health profile differences for menthol and non‐menthol smokers: findings from the national health interview survey. Addiction. 2010;105(s1):124–40.

    Article  PubMed  Google Scholar 

  31. Azagba S, Sharaf MF. Binge drinking and marijuana use among menthol and non-menthol adolescent smokers: findings from the Youth Smoking Survey. Addict Behav. 2014;39(3):740–3.

    Article  PubMed  Google Scholar 

  32. Patton GC, Coffey C, Carlin JB, Degenhardt L, Lynskey M, Hall W. Cannabis use and mental health in young people: cohort study. Bmj. 2002;325(7374):1195–8.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Compton WM, Thomas YF, Stinson FS, Grant BF. Prevalence, correlates, disability, and comorbidity ofDSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions. Archives of general psychiatry. 2007;64(5):566-76.

  34. Grant BF. Comorbidity between DSM-IV drug use disorders and major depression: results of a national survey of adults. J Subst Abuse. 1995;7(4):481–97.

    Article  PubMed  CAS  Google Scholar 

  35. Harder VS, Morral AR, Arkes J. Marijuana use and depression among adults: Testing for causal associations. Addiction. 2006;101(10):1463–72.

    Article  PubMed  Google Scholar 

  36. Bolton JM, Robinson J, Sareen J. Self-medication of mood disorders with alcohol and drugs in the National Epidemiologic Survey on Alcohol and Related Conditions. J Affect Disord. 2009;115(3):367–75.

    Article  PubMed  Google Scholar 

  37. Brook DW, Brook JS, Zhang C, Cohen P, Whiteman M. Drug use and the risk of major depressive disorder, alcohol dependence, and substance use disorders. Archives of General Psychiatry. 2002;59(11):1039-44.

  38. Eccles R. Menthol: effects on nasal sensation of airflow and the drive to breathe. Curr Allergy Asthma Rep. 2003;3(3):210–4.

    Article  PubMed  Google Scholar 

  39. Sees KL, Clark HW. When to begin smoking cessation in substance abusers. J Subst Abuse Treat. 1993;10(2):189–95.

    Article  PubMed  CAS  Google Scholar 

  40. Khantzian EJ. The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harv Rev Psychiatry. 1997;4(5):231–44.

    Article  PubMed  CAS  Google Scholar 

  41. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). Jama.2003;289(23):3095-105.

  42. Giovino GA, Villanti AC, Mowery PD, Sevilimedu V, Niaura RS, Vallone DM et al. Differential trends in cigarette smoking in the USA: is menthol slowing progress? Tobacco control. 2015;24(2):28-37.

  43. Villanti AC, Richardson A, Vallone DM, Rath JM. Flavored tobacco product use among US young adults. American journal of preventive medicine. 2013;44(4):388-91.

  44. Lee YO, Hebert CJ, Nonnemaker JM, Kim AE. Multiple tobacco product use among adults in the United States: cigarettes, cigars, electronic cigarettes, hookah, smokeless tobacco, and snus. Preventive medicine. 2014;62:14-9.

  45. Yeager DS, Krosnick JA, Chang L, Javitz HS, Levendusky MS, Simpser A, et al. Comparing the accuracy of RDD telephone surveys and internet surveys conducted with probability and non-probability samples. Public Opinion Quarterly. 2011:nfr020.

  46. Chang L, Krosnick JA. National surveys via RDD telephone interviewing versus the internet comparing sample representativeness and response quality. Public Opin Q. 2009;73(4):641–78.

    Article  Google Scholar 

  47. Rhodes DJ, Breitkopf CR, Ziegenfuss JY, Jenkins SM, Vachon CM. Awareness of Breast Density and Its Impact on Breast Cancer Detection and Risk. Journal of Clinical Oncology. 2015;33(10):1143-50.

  48. Grande D, Mitra N, Shah A, Wan F, Asch DA. Public preferences about secondary uses of electronic health information. JAMA internal medicine. 2013;173(19):1798-806.

  49. Kumar S, Quinn SC, Kim KH, Daniel LH, Freimuth VS. The impact of workplace policies and other social factors on self-reported influenza-like illness incidence during the 2009 H1N1 pandemic. American Journal of Public Health. 2012;102(1):134-40.

  50. Fowler FJ, Gerstein BS, Barry MJ. How patient centered are medical decisions? Results of a national survey. JAMA Int Med. 2013;173(13):1215–21.

    Article  Google Scholar 

  51. American Association for Public Opinion Research. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 2015.

    Google Scholar 

  52. Cohn A, Villanti A, Richardson A, Rath JM, Williams V, Stanton C et al. The association between alcohol, marijuana use, and new and emerging tobacco products in a young adult population. Addictive Behaviors. 2015;48:79–88.

    Article  PubMed  Google Scholar 

  53. Villanti AC, Pearson JL, Cantrell J, Vallone DM, Rath JM. Patterns of combustible tobacco use in US young adults and potential response to graphic cigarette health warning labels. Addict Behav. 2015;42:119–25.

  54. Rath JM, Villanti AC, Abrams DB, Vallone DM. Patterns of tobacco use and dual use in US young adults: the missing link between youth prevention and adult cessation. J Environ Public Health. 2012, 2012. doi:10.1155/2012/679134.

  55. Löwe B, Kroenke K, Gräfe K. Detecting and monitoring depression with a two-item questionnaire (PHQ-2). J Psychosom Res. 2005;58(2):163–71.

    Article  PubMed  Google Scholar 

  56. Kroenke K, Spitzer RL, Williams JB. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care. 2003;41(11):1284–92.

    Article  PubMed  Google Scholar 

  57. Kroenke K, Spitzer RL, Williams JB, Monahan PO, Löwe B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007;146(5):317–25.

  58. Kroenke K, Spitzer RL, Williams JB. The 2-item Generalized Anxiety Disorder scale had high sensitivity and specificity for detecting GAD in primary care. Intern Med. 2007;146:317–25.

    Google Scholar 

  59. Trapl ES, Terchek JJ, Danosky L, Cofie L, Brooks-Russell A, Frank SH. Complexity of measuring “cigar use” in adolescents: Results from a split sample experiment. Nicotine Tob Res. 2011;13(4):291–5.

  60. Terchek JJ, Larkin EM, Male ML, Frank SH. Measuring cigar use in adolescents: inclusion of a brand-specific item. Nicotine Tob Res. 2009;11(7):842–6.

    Article  PubMed  Google Scholar 

  61. Twisk J, de Vente W. Attrition in longitudinal studies: how to deal with missing data. J Clin Epidemiol. 2002;55(4):329–37.

    Article  PubMed  Google Scholar 

  62. Little RJ, Rubin DB. Statistical analysis with missing data. Hoboken, New Jersey: John Wiley & Sons; 2014.

  63. Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3(1):21.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Riolo SA, Nguyen TA, Greden JF, King CA. Prevalence of depression by race/ethnicity: findings from the National Health and Nutrition Examination Survey III. Am J Public Health. 2005;95(6):998.

  65. Nolen-Hoeksema S. Gender differences in depression. Curr Dir Psychol Sci. 2001;10(5):173–6.

    Article  Google Scholar 

  66. Grant BF, Stinson FS, Dawson DA, Chou SP, Dufour MC, Compton W, et al. Prevalence and co-occurrence of substance use disorders and independentmood and anxiety disorders: Results from the national epidemiologic survey on alcohol and relatedconditions. Arch Gen Psychiatry. 2004;61(8):807–16.

  67. Grant BF, Hasin DS, Chou SP, Stinson FS, Dawson DA. Nicotine dependence and psychiatric disorders in the united states: results from the national epidemiologic survey on alcohol and relatedconditions. Arch Gen Psychiatry. 2004;61(11):1107–15.

  68. Cohn AM, Strong DR, Abrantes AM, Brown RA. History of single episode and recurrent major depressive disorder among smokers in cessation treatment: Associations with depressive symptomatology and early cessation failure. Addict Disord Treat. 2010;9(1):41.

  69. Brown RA, Kahler CW, Niaura R, Abrams DB, Sales SD, Ramsey SE, et al. Cognitive–behavioral treatment for depression in smoking cessation. J Consult Clin Psychol. 2001;69(3):471.

  70. Niaura R, Britt DM, Shadel WG, Goldstein M, Abrams D, Brown R. Symptoms of depression and survival experience among three samples of smokers trying to quit. Psychol Addict Behav. 2001;15(1):13.

  71. Wayne GF, Connolly GN. Application, function, and effects of menthol in cigarettes: a survey of tobacco industry documents. Nicotine Tob Res. 2004;6 Suppl 1:S43–54.

    Article  CAS  Google Scholar 

  72. Vanyukov MM, Tarter RE, Kirisci L, Kirillova GP, Maher BS, Clark DB. Liability to substance use disorders: 1. Common mechanisms and manifestations. Neurosci Biobehav Rev. 2003;27(6):507–15.

  73. Rath JM, Villanti AC, Williams VF, Richardson A, Pearson J, Vallone DM. Patterns of longitudinal transitions in menthol use among US young adult smokers. Nicotine Tob Res. 2012;2012:Article ID 679134, 9 pages. doi:10.1155/2012/679134.

  74. American Psychiatric Association. Diagnostic criteria from dsM-iV-tr. Am Psychiatr Pub. 2000.

  75. Garten S, Falkner RV. Role of mentholated cigarettes in increased nicotine dependence and greater risk of tobacco-attributable disease. Prev Med. 2004;38(6):793–8.

    Article  PubMed  CAS  Google Scholar 

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This work was supported by Truth Initiative (formerly Legacy), and all study authors are employed by Truth Initiative.

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Not commissioned; externally peer reviewed.

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Primary data from the Truth Initiative Young Adult Cohort Study are not currently available to external investigators.

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Correspondence to Amy M. Cohn.

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The authors declare that they have no competing interests.

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AC, AJ, and AV conceived of the study and oversaw the data analysis. AJ conducted the data analyses. AC and AJ drafted the manuscript. JR, EH, AJ, and AV provided input on the manuscript drafts. All authors read and approved the final manuscript.

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Cohn, A.M., Johnson, A.L., Hair, E. et al. Menthol tobacco use is correlated with mental health symptoms in a national sample of young adults: implications for future health risks and policy recommendations. Tob. Induced Dis. 14, 1 (2016).

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